Deep reinforcement learning: foundations, research and applications

arui1999

Deep reinforcement learning: foundations, research and applications [Copy link]

 

Deep reinforcement learning combines the advantages of deep learning and reinforcement learning algorithms to solve complex decision-making tasks. Thanks to the successful cases of DeepMind AlphaGo and OpenAI Five, deep reinforcement learning has received a lot of attention and related technologies have been widely used in different fields.

This book is divided into three parts, covering all the contents of deep reinforcement learning. The first part introduces the introductory knowledge of deep learning and reinforcement learning, some very basic deep reinforcement learning algorithms and their implementation details, including Chapters 1 to 6. The second part is some selected deep reinforcement learning research topics, which are very useful for readers who are preparing to conduct deep reinforcement learning research, including Chapters 7 to 12. The third part provides a wealth of application cases, including AlphaZero, letting robots learn to run, etc., including Chapters 13 to 17.

This book is for students with a computer science background who want to learn deep reinforcement learning from scratch and conduct research and practical projects. This book is also suitable for software engineers who do not have a strong machine learning background but want to quickly learn deep reinforcement learning and apply it to specific products.

https://download.eeworld.com.cn/detail/sigma/623309

风尘流沙

Thank you teacher, I will download it and take a look. Thank you for sharing. I am currently paying attention to the knowledge of deep learning. Thank you